package com.atguigu.flink.day05;

import com.atguigu.flink.beans.WaterSensor;
import com.atguigu.flink.func.WaterSensorMapFunction;
import org.apache.commons.lang3.time.DateFormatUtils;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.datastream.WindowedStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction;
import org.apache.flink.streaming.api.windowing.assigners.ProcessingTimeSessionWindows;
import org.apache.flink.streaming.api.windowing.assigners.SessionWindowTimeGapExtractor;
import org.apache.flink.streaming.api.windowing.assigners.SlidingProcessingTimeWindows;
import org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
import org.apache.flink.util.Collector;

/**
 * @author Felix
 * @date 2023/12/5
 * 该案例演示了处理时间窗口
 *  滚动
 *  滑动
 *  会话
 */
public class Flink06_window_processtime {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        SingleOutputStreamOperator<WaterSensor> wsDS = env
            .socketTextStream("hadoop102", 8888)
            .map(new WaterSensorMapFunction());

        //分组
        KeyedStream<WaterSensor, String> keyedDS = wsDS.keyBy(WaterSensor::getId);

        //开窗
        //处理时间滚动窗口
        // WindowedStream<WaterSensor, String, TimeWindow> windowDS
        //     = keyedDS.window(TumblingProcessingTimeWindows.of(Time.seconds(10)));

        //处理时间滑动窗口
        // WindowedStream<WaterSensor, String, TimeWindow> windowDS
        //     = keyedDS.window(SlidingProcessingTimeWindows.of(Time.seconds(10), Time.seconds(2)));

        //处理时间会话窗口
        WindowedStream<WaterSensor, String, TimeWindow> windowDS = keyedDS
            // .window(ProcessingTimeSessionWindows.withGap(Time.seconds(5)));
            .window(ProcessingTimeSessionWindows.withDynamicGap(
                new SessionWindowTimeGapExtractor<WaterSensor>() {
                    @Override
                    public long extract(WaterSensor ws) {
                        return ws.getTs() * 1000;
                    }
                }
            ));

        windowDS.process(
            new ProcessWindowFunction<WaterSensor, String, String, TimeWindow>() {
                @Override
                public void process(String s, Context context, Iterable<WaterSensor> elements, Collector<String> out) throws Exception {
                    long count = elements.spliterator().estimateSize();
                    String windowStart = DateFormatUtils.format(context.window().getStart(), "yyyy-MM-dd HH:mm:ss");
                    String windowEnd = DateFormatUtils.format(context.window().getEnd(), "yyyy-MM-dd HH:mm:ss");
                    out.collect("key=" + s + "的窗口[" + windowStart + "," + windowEnd + ")包含" + count + "条数据===>" + elements.toString());
                }
            }
        ).print("$$");

        env.execute();
    }
}
